Getting it into your agent
One page per mod, every tool's command on it. A separate URL per tool would split the same page into five that compete with each other.
npx skills add 222wcnm/BiliStalkerMCP --skill bili-content-analysisgit clone --depth 1 https://github.com/222wcnm/BiliStalkerMCPWrote this? Show the measurements
A badge with what this costs and how it scanned, read live from this page, so it follows the numbers instead of freezing them. Markdown for a README, HTML for a documentation site or a project page.
[](https://agentmods.dev/skills/222wcnm/bilistalkermcp/bili-content-analysis)<a href="https://agentmods.dev/skills/222wcnm/bilistalkermcp/bili-content-analysis"><img src="https://agentmods.dev/badge/skills/222wcnm/bilistalkermcp/bili-content-analysis/github.svg" alt="Measured on agentmods" height="20"></a>Or the 80×15 button, for a site that already has a row of RSS and ATOM ones. Only the verdict fits; the numbers stay here.
<a href="https://agentmods.dev/skills/222wcnm/bilistalkermcp/bili-content-analysis"><img src="https://agentmods.dev/badge/skills/222wcnm/bilistalkermcp/bili-content-analysis.svg" alt="Reviewed on agentmods" width="80" height="20"></a>What it costs to keep this loaded
Counted locally with the o200k_base tokenizer, which is exact for GPT models; Claude uses its own tokenizer and its counts differ. Treat this as one consistent yardstick across the catalogue rather than a bill. Prices are per million input tokens.
| Model | Per session | Once invoked |
|---|---|---|
| Fable 5.1 | $0.00061 | $0.00513 |
| Opus 5 | $0.00030 | $0.00257 |
| Sonnet 5 | $0.00012 | $0.00103 |
| Haiku 4.5 | $0.00006 | $0.00051 |
Grade A, and why
bili-content-analysis scanned grade A with 0 findings against 26 rules in 11 categories — prompt injection, anti-refusal, data exfiltration, privilege escalation, supply chain, agent snooping, system-prompt leakage, SSRF and excessive agency — measured 10d ago.
A static scan of the body, not an audit. Every finding is printed with the line that produced it so you can judge whether it matters here. A mod is markdown that instructs an agent; that is exactly why what it instructs is worth reading.
Nothing flagged
None of the 26 patterns this scan looks for appear in this file: no shell pipes, no recursive deletes, no credential paths, no hidden text, no instruction-override or anti-refusal phrasing, no agent-config snooping. That is not a guarantee, it is the absence of the things that are checkable.
How it starts
The opening of the file, as written. The whole thing — 53 lines — stays where its author put it; the contents beside it link to each section on GitHub.
Bili Content Analysis
Run workflow
- Clarify target and scope
- Extract target identifier from user input (
uid/username,bvid,article_id, keyword). - Keep response language aligned with the user unless explicitly requested otherwise.
- Ask for missing identifiers only when tools cannot resolve them safely.
- Collect minimum sufficient evidence
- Prefer lightweight list tools first and fetch heavy detail only for high-value items.
- Use this default sequence:
get_user_infoget_user_videosorsearch_user_videosget_video_detailfor selected videosget_user_dynamicsget_user_articlesget_article_contentfor selected articles
- Reconstruct source before interpreting
- Preserve source structure by timeline, chapter, or original logic order.
- Correct obvious transcription noise only when context provides strong evidence.
- Distinguish speakers when style, viewpoint, or surrounding context supports separation.
- Build the analysis
- Explain facts, logic chain, assumptions, evidence, themes, and recent shifts.
- Mark inferred conclusions explicitly when they are not directly stated by the source.
- Preserve original wording and tone where it carries analytical value.
- Keep output useful for downstream tasks
- Keep key anchors in output:
uid,bvid,article_id, publish times, and key source snippets. - Avoid fragmented one-line bullet dumps; keep coherent narrative blocks with clear headings.
- Handle failures safely
- If required data is missing or retrieval fails, state exact blockers and stop speculation.
- Provide concrete next actions (for example: request missing id, retry with cursor/page, fetch detail for candidate items).
Output contract
- Start with the final analysis directly when context is sufficient.
- Skip method narration unless the user asks for it.
- Match depth to intent: brief asks get concise conclusions plus key evidence; deep asks get full reconstruction and multi-dimensional interpretation.
What ships with it
1 file beside SKILL.md in the same directory: the scripts, references and assets a skill reads on demand. Not counted in the per-session cost; read them before you install if any of them is executable.
What this file has done since we first saw it
Hashed on every crawl. A supply-chain change to an agent config is a question of when, not whether, so the history is kept rather than the latest state alone.
- 10d ago First seen · 53 lines · 61 tokens per session scan A b28f01991e77
bili-content-analysis is a skill published in the GitHub repository 222wcnm/BiliStalkerMCP (8 stars, last pushed today), licensed MIT. It adds 61 tokens to every session and 513 once invoked, about $0.0003 per session on Opus 5. A static security scan graded it A with 0 findings. No closer match exists in the catalogue, so it is treated as the original; first seen 2026-08-31.
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